ContactPFP: Protein function prediction using predicted contact information.

ABSTRACT: Computational function prediction is one of the most important problems in bioinformatics as elucidating the function of genes is a central task in molecular biology and genomics. Most of the existing function prediction methods use protein sequences as the primary source of input information because the sequence is the most available information for query proteins. There are attempts to consider other attributes of query proteins. Among these attributes, the three-dimensional (3D) structure of proteins is known to be very useful in identifying the evolutionary relationship of proteins, from which functional similarity can be inferred. Here, we report a novel protein function prediction method, ContactPFP, which uses predicted residue-residue contact maps as input structural features of qu

SUBMITTER: Kagaya Y 

PROVIDER: S-EPMC9302406 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature